Machine Learning Engineer

Design and develop highly scalable, Real time systems using Hadoop ecosystem components(Iceberg, Spark, Ozone, Trino, Hive, Ranger, Kafka, Flink and Nifi)

• Build robust data ingestion and transformation frameworks using Java, Spark, Python, and shell scripting for ingesting multi model data(image, audio, video, unstructured documents) with both batch and real-time.

• Develop full stack applications and internal engineering tools using Python, shell scripting, and modern web frameworks (e.g., Flask, React).

• Collaborate closely with data scientists to operationalize machine learning models using Cloudera Machine Learning (CML).

• Perform performance tuning and optimization of data applications on Hadoop to ensure optimal resource utilization.

• Experience working with ML platforms such as CML, Spark MLlib, and Python ML libraries (scikit learn, XGBoost), including model deployment.

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